| Paper: | AE-P4.10 | ||
| Session: | Applications to Music | ||
| Time: | Thursday, May 18, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Applications to Music | ||
| Title: | F0 ESTIMATION METHOD FOR SINGING VOICE IN POLYPHONIC AUDIO SIGNAL BASED ON STATISTICAL VOCAL MODEL AND VITERBI SEARCH | ||
| Authors: | Hiromasa Fujihara, Tetsuro Kitahara, Kyoto University, Japan; Masataka Goto, National Institute of Advanced Industrial Science and Technology, Japan; Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno, Kyoto University, Japan | ||
| Abstract: | This paper describes a method for estimating F0s of vocal from polyphonic audio signals.Because melody is sung by a singer in many musical pieces, the estimation of F0s of the vocal part is useful for many applications. Based on existing multiple-F0 estimation method, we evaluate the vocal probabilities of the harmonic structure of each F0 candidate. In order to calculate the vocal probabilities of the harmonic structure, we extract and resynthesize the harmonic structure by using a sinusoidal model and extract feature vectors. Then, we evaluate the vocal probability by using vocal and non-vocal Gaussian mixture models (GMMs). Finally, we track F0 trajectories using these probabilities based on Viterbi search. Experimental results show that our method improves estimation accuracy from 78.1% to 84.3%, which is 28.3% reduction of misestimation. | ||
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